Adaptive wavelet image denoising scheme using pixel classification

Guangdianzi Jiguang/Journal of Optoelectronics Laser

Volumn 18, Issue 4, 2007, Pages 482-486

  Chu, Heng ^a   Zhu, Wei Le ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Image denoising; Image processing; Pixel classification; Wavelet transform

Indexed keywords

ALGORITHMS; SIGNAL TO NOISE RATIO; WAVELET TRANSFORMS;

IMAGE DENOISING; PIXEL CLASSIFICATION;

IMAGE PROCESSING;

EID: 34250027555     PISSN: 10050086     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (17)

1. Donoho D L, Johnstone I M. Ideal spatial adaptation by wavelet shrinkage[J]. Biometrika, 1994, 81(3): 425-455.
2. XIE Jie-cheng, ZHANG Da-li, XU Wen-li. Several improvements for a wavelet denoising method[J]. Journal of Tsinghua University Science and Technology, 2002, 42(9): 1269-1272. (in Chinese)
3. Mihack M K, Kozintsev I, Ramchandran K, et al. Low-complexity image denoising based on statistical modeling of wavelet coefficients[J]. IEEE Signal Processing Letters, 1999, 6(12): 300-303.
4. LIU Wei-hua, SHUI Peng-lang. Denoising joint image method via multiple wavelet bases[J]. Systems Engineering and Electronics, 2005, 27(9): 1511-1514. (in Chinese)
5. Donoho D L. De-noising by soft-thresholding[J]. IEEE Transactions on Information Theory, 1995, 41(3): 613-627.
6. Chang S G, Yu B, Vetterli M. Adaptive wavelet thresholding for image denoising and compression[J]. IEEE Transactions on Image Processing, 2000, 9(9): 1532-1546.
7. Chen Y, Han C. Adaptive wavelet threshold for image denoising[J]. IEEE Electronics Letters, 2005, 41(10): 586-587.
8. DUAN Rui-ling, LI Yu-he, LI Qing-xiang, et al. Image denoising method of nonlinear threshold-self-adjusting-based wavelet[J]. Optoelectronics · Laser, 2006, 17(7): 871-874. (in Chinese)
9. CAO Xue-guang, XIAO Zhi-yun, WANG Xue-lin, et al. Image restoration using hidden markov tree modeling in complex wavelet domain[J]. Journal of Optoelectronics · Laser, 2005, 16(12): 1487-1491. (in Chinese)
10. Balster E J, Zheng Y F, Ewing R L. Feature-based wavelet shrinkage algorithm for image denoising[J]. IEEE Transactions on Image Processing, 2005, 14(12): 2024-2039.
11. Karu K, Jain A K, Bolle R M. Is there any texture in the image[J]. Pattern Recognition, 1996, 29(9): 1437-1446.
12. Ran X, Farvardin N. A perceptually motivated three-component image model-Part I: description of the model[J]. IEEE Transactions on Image Processing, 1995, 4(4): 401-415.
13. Chou W S. Classifying image pixels into shaped, smooth and textured points[J]. Pattem Recognition, 1999, 32(9): 1697-1706.
14. YANG Hai-jun, LIANG De-qun, BI Sheng. Pixel classification based on orientation information measure of image[J]. Journal of Image and Graphics, 2001, 6(5): 429-433. (in Chinese)
15. Pajares G, Cruz J M. A wavelet-based image fusion tutorial[J]. Pattern Recognition, 2004, 37(9): 1855-1872.
16. Romberg J K, Choi H, Baraniuk R G. Bayesian tree-structured image modeling using wavelet-domain hidden markov models[J]. IEEE Transactions on Image Processing, 2001, 10(7): 1056-1068.
17. Li H, Manjunath B S, Mitra S K. Multisensor Image Fusion Using the Wavelet Transform[J]. Graphical Models and Image Processing, 1995, 57(3): 235-245.